Define the questions you want to answer
People increasingly use AI-assisted search to explore a subject, compare providers or understand a professional's background. For someone building an expert profile, the useful starting point is the question being asked. A search for your name, a request for an explanation and a search for a specialist create different information needs.
Write a small set of realistic questions for your audience. Include your name and field, the problems you address and the concepts you can explain from experience. This set gives you a practical baseline for reviewing whether your public information is clear, available and relevant. It also prevents an AI visibility project from becoming a vague promise to appear everywhere.
Treat each system as a separate surface
Providers differ in how they retrieve and present information, so a result observed in one product should not be reported as a result across all AI systems. Google's documentation gives a specific example: a supporting link in AI Overviews or AI Mode must be eligible for Search indexing and snippets. Google states that inclusion is not guaranteed.
For your own review, record the product, question, date and sources shown. Distinguish an answer that names you from an answer that links to your website. Check whether the description is accurate. A favourable sentence with no useful source and an incorrect description of your work should not be treated as a successful outcome.
Give your work an accessible home
Your main website should explain who you are, what you do and where a reader can examine your work. Put essential information in readable page content. Use meaningful page titles, a simple navigation structure and links connecting your biography with relevant articles, projects and speaking material. Check that important pages work on a phone and remain accessible without unnecessary interactions.
Google's AI guidance keeps established search fundamentals at the centre of the work and says there is no special schema markup required for its generative features. We therefore begin with access, accuracy and useful content. Any structured data we add must reflect the visible page; it cannot establish a reputation or force a recommendation.
Make identity easy to follow
Review the name, role and specialist description used on your own website and the professional profiles you maintain. Where two people share a name, add useful context such as the field, organisation or relevant work. Link to profiles that actually belong to you and correct outdated titles through the source owner's normal process.
Build a small source record for important biographical claims. If a page says you spoke at an event, link to the event record where available. If you wrote a guide, provide its title, publication information and a place to examine it. This helps human readers follow the evidence and gives your editorial team a reliable basis for future updates.
Publish knowledge worth referring to
Choose a subject on which you can add something concrete: an explained method, a practical comparison, a documented observation or a worked example. State the question early, develop the reasoning and describe the limits. A short answer may be enough for a simple question; a complex decision may need a substantial article with supporting references.
Avoid creating many near-identical pages or adding impressive claims that you cannot support. Use accurate authorship and review material when the underlying facts change. Google's guidance on helpful content asks publishers to consider who created the content, how it was made and why it exists. These are useful questions for an expert editorial programme.
Report observations with their limits
A measurement record should separate work completed from visibility observed. A corrected biography, an accessible article and an improved internal link are changes you can verify. An appearance in an AI answer is an observation tied to a particular test. Repeat relevant checks and record contradictory results instead of selecting only favourable examples.
PR Drift combines expert positioning, website content, search fundamentals and structured observation. We define the audience questions, review the public record and improve the information available. Reporting should show what changed, where your work appeared and what remains uncertain. Rankings, citations and recommendations stay under the control of the platforms that produce them.